Quantitative Proteomics of Nervous System Regeneration: From Sample Preparation to Functional Data Analyses

Dasfne Lee-Liu*, Liangliang Sun

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

Abstract

Mammals have a limited regenerative capacity, especially of the central nervous system. Consequently, any traumatic injury or neurodegenerative disease results in irreversible damage. An important approach to finding strategies to promote regeneration in mammals has been the study of regenerative organisms like Xenopus, the axolotl, and teleost fish. High-throughput technologies like RNA-Seq and quantitative proteomics are starting to provide valuable insight into the molecular mechanisms that drive nervous system regeneration in these organisms. In this chapter, we present a detailed protocol for performing iTRAQ proteomics that can be applied to the analysis of nervous system samples, using Xenopus laevis as an example. The quantitative proteomics protocol and directions for performing functional enrichment data analyses of gene lists (e.g., differentially abundant proteins from a proteomic study, or any type of high-throughput analysis) are aimed at the general bench biologist and do not require previous programming knowledge.

Original languageEnglish
Title of host publicationMethods in Molecular Biology
PublisherHumana Press Inc.
Pages343-366
Number of pages24
DOIs
StatePublished - 2023

Publication series

NameMethods in Molecular Biology
Volume2636

Bibliographical note

Funding Information:
This work was funded by FONDECYT Postdoctoral 3180180 (DLL). Figures 1 and 2 were created with BioRender.com.

Publisher Copyright:
© 2023, The Author(s), under exclusive license to Springer Science+Business Media, LLC, part of Springer Nature.

ASJC Scopus subject areas

  • Molecular Biology
  • Genetics

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